Conference

24th February 2018, Saturday

Time

10:30 AM~12:30 PM

Venue

Celebrity Hall

Speakers

7 persons

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies. Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data. While talking about Machine Learning we can’t skip Machine Intelligence (MI) also known as Artificial Intelligence (AI) which is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. The scope of AI is disputed: as machines become increasingly capable, tasks considered as requiring "intelligence" are often removed from the definition, a phenomenon known as the AI effect, leading to the quip "AI is whatever hasn't been done yet. For instance, optical character recognition is frequently excluded from "artificial intelligence", having become a routine technology. Capabilities generally classified as AI as of 2017 include successfully understanding human speech, competing at a high level in strategic game systems (such as chess and Go), autonomous cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data, including images and videos. Prof. Alan Edelman of MIT shall provide the lay of the land for machine learning and artificial intelligence, describe how these will evolve in the next few years and share his thoughts on how they will impact the lives of people. This would be the most exciting and anticipated event of the SoftExpo this year.